English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In cloud computing paradigm, virtual resource autoscaling approaches havebeen intensively studied recent years. Those approaches dynamically scalein/out virtual resources to adjust system performance for saving operationcost. However, designing the autoscaling algorithm for desired performance withlimited budget, while considering the existing capacity of legacy networkequipment, is not a trivial task. In this paper, we propose a Deadline andBudget Constrained Autoscaling (DBCA) algorithm for addressing thebudget-performance tradeoff. We develop an analytical model to quantify thetradeoff and cross-validate the model by extensive simulations. The resultsshow that the DBCA can significantly improve system performance given thebudget upper-bound. In addition, the model provides a quick way to evaluate thebudget-performance tradeoff and system design without wide deployment, savingon cost and time.

Design and Analysis of Deadline and Budget Constrained Autoscaling (DBCA) Algorithm for 5G Mobile Networks